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Py-dy-Tuesdays-Slices

Bite-sized weekly data explorations in Python, in connection with #TidyTuesday. One dataset, one slice at a time!

This repo contains weekly data exploration and visualisation challenges inspired by the #TidyTuesday project — using Python.

"PydyTuesday is a Posit collaboration with TidyTuesday for exploring TidyTuesday data in Python."

📦 Dataset Sources

Original datasets and descriptions can be found at the official TidyTuesday GitHub repo.

🔍 How It Works

Each week, a new dataset is shared in the TidyTuesday repo (link mentioned above). The idea is to spend about 30 minutes exploring the data — answering a question, visualising patterns, or finding a small insight.

Most of the work here is done in 30–60 minutes, but there's always room to return later for deeper analysis or polish.

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Bite-sized weekly data explorations in Python, in connection with #TidyTuesday. One dataset, one slice at a time!

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